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Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

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7<br />

Default <strong>and</strong><br />

Non-Monotonic<br />

Reasoning<br />

This chapter briefly outlines the scope of automated reasoning in the absence<br />

of complete knowledge about the world. The incompleteness of facts or<br />

knowledge may appear in a reasoning system in different forms. There is no<br />

general notion to treat the different types of incompleteness of data <strong>and</strong><br />

knowledge (clauses) by a unified approach. In this chapter, we cover 4<br />

distinct techniques, all of which, however, may not be applicable to a<br />

common problem. The techniques are popularly known as default logic, nonmonotonic<br />

logic, circumscription <strong>and</strong> auto-epistemic logic. Informally,<br />

default logic infers a consequent, when its pre-conditions are consistent with<br />

the world knowledge. The non-monotonic logic works with two modal<br />

operators <strong>and</strong> can continue reasoning in the presence of contradictory<br />

evidences. Circumscription is an alternative form of non-monotonic<br />

reasoning, which attempts to minimize the interpretations of some predicates<br />

<strong>and</strong> thus continues reasoning even in the presence of contradictions. The<br />

auto-epistemic logic that works on the belief of the reasoning system,<br />

occasionally changes inferences, as new evidences refute the existing belief.

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